Two Ways Data Can Help (or Harm) Your Evidence-Based Practice
There are two key ways data is used to drive evidence-based practice: measure progress and drive action.
There are two key ways data is used to drive evidence-based practice: measure progress and drive action.
Making the right choices during pretrial is critical for community safety and depends entirely on what we know about the justice-involved individual.
Reducing recidivism is one of the most important things we can do as supervision professionals. It’s also one of the hardest.
The Risk-Needs-Responsivity model can help you ensure you’re using a variety of strategies to safely and cost-effectively manage offenders.
Taking a responsive and evidence-based approach to case planning can help lay the groundwork for positive incremental successes on an individual level, and eventually, lower recidivism rates on a community level.
Knowing more about RNR can help us all be more effective at our jobs and promote better outcomes for our clients and communities. So let’s dig in.
Client needs are a key factor in every supervision plan, and their utility doesn’t stop there. Understanding individual needs is often the key to effective intervention and improved outcomes.
If you’re using trusted, validated risk/needs assessment tools, then you may ask, why override the recommendations it makes? It’s a good question. Statistically, it’s more effective to trust the tool than to override it.
Artificial intelligence is everywhere: our phones, our cars, even our doctor’s offices. But does it belong in criminal justice? Hear from Dr. Tim Brennan, Northpointe co-founder and expert criminologist, with a quick refresher on the decision making process and how AI is already revolutionizing evidence-based practice and improving outcomes.
“But what about … ?” How many times have you looked at a supervision plan and thought something wasn’t quite right? How many people in your population have a special circumstance or need that makes their case just a little different?